Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use kevinwlip/ProsusAI-finbert-1500-samples-fine-tune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinwlip/ProsusAI-finbert-1500-samples-fine-tune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kevinwlip/ProsusAI-finbert-1500-samples-fine-tune")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kevinwlip/ProsusAI-finbert-1500-samples-fine-tune") model = AutoModelForSequenceClassification.from_pretrained("kevinwlip/ProsusAI-finbert-1500-samples-fine-tune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd4c3bb0b4b2e63706f83a3a1518a06a4839f3f6009da8c4eb9a72213791f0ab
- Size of remote file:
- 5.24 kB
- SHA256:
- 591801d2a8ca065dfa14622c9bb804f74d36aa5c03389b11cc51f52777e7a264
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